About the Book
This book introduces Microsoft Azure Data Studio and shows how anyone working with data -- Database Developers, Data Analysts, Data Scientists, Database Administrators, and Software Developers -- can use Azure Data Studio to dramatically streamline and accelerate their daily work. Learn to connect to databases whether in the Azure cloud or hosted on premises in your corporate environment. You can even connect to databases from competing brands and from the world of open source. Then learn how you can query and analyze data using a fusion of languages such as Python, SQL, and PowerShell neatly wrapped in Jupyter Notebooks.
Azure Data Studio is a quickly emerging software platform from Microsoft meant to be a free-form toolbox for all sorts of data manipulation and analytics tasks. Going beyond just querying interactively, this book shows how you can maximize your work products, whether it’s a small code snippet, or an exhaustive notebook. You’ll learn how to benefit from Git and GitHub where your queries and analysis can be shared and improved by others in your organization, or perhaps collaborate with those on the outside. If you’re involved in a role working with data and you are looking for an open architecture platform for exploring your data, managing your data, and for collaborating with colleagues to derive business value by analyzing that data, then this is the book you'll want to read!
About the Author
Jim has worked in many facets of the IT business for almost 40 years, with a more recent focus on data warehousing, data integration, reporting and analytics, business intelligence, ELT/ETL frameworks, and database performance tuning. In previous engagements, Jim has fulfilled roles as Data Architect, DBA, IT Director, and Senior Consultant. Jim has also had some extraordinary opportunities to lead IT organizations, with multi-national participants, on reconstruction projects based in Bosnia as part of the Dayton Peace Agreement, and in Iraq with the US Department of State.
Specialties: ELT/ETL Development - Powered by EltSnap and BimlSnap (see: www.bitracks.com), Microsoft SQL Server, and the snowflake
cloud data warehouse platform